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Main Author: Quattropani, Matteo
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2301.06109
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author Quattropani, Matteo
author_facet Quattropani, Matteo
contents We consider a version of the classical Ehrenfest urn model with two urns and two types of balls: regular and heavy. Each ball is selected independently according to a Poisson process having rate $1$ for regular balls and rate $α\in(0,1)$ for heavy balls, and once a ball is selected, is placed in a urn uniformly at random. We study the asymptotic behavior when the total number of balls, $N$, goes to infinity, and the number of heavy ball is set to $m_N\in\{1,\dots, N-1\}$. We focus on the observable given by the total number of balls in the left urn, which converges to a binomial distribution of parameter $1/2$, regardless of the choice of the two parameters, $α$ and $m_N$. We study the speed of convergence and show that this can exhibit three different phenomenologies depending on the choice of the two parameters of the model.
format Preprint
id arxiv_https___arxiv_org_abs_2301_06109
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Mixing trichotomy for an Ehrenfest urn with impurities
Quattropani, Matteo
Probability
We consider a version of the classical Ehrenfest urn model with two urns and two types of balls: regular and heavy. Each ball is selected independently according to a Poisson process having rate $1$ for regular balls and rate $α\in(0,1)$ for heavy balls, and once a ball is selected, is placed in a urn uniformly at random. We study the asymptotic behavior when the total number of balls, $N$, goes to infinity, and the number of heavy ball is set to $m_N\in\{1,\dots, N-1\}$. We focus on the observable given by the total number of balls in the left urn, which converges to a binomial distribution of parameter $1/2$, regardless of the choice of the two parameters, $α$ and $m_N$. We study the speed of convergence and show that this can exhibit three different phenomenologies depending on the choice of the two parameters of the model.
title Mixing trichotomy for an Ehrenfest urn with impurities
topic Probability
url https://arxiv.org/abs/2301.06109